The financial services industry is undergoing one of the largest transformational shifts in decades, driven by the development of new digital products and services, broadening availability of powerful computing solutions, and increased customer adoption of cloud, mobile, web-based and AI technologies. As the financial industry increasingly realizes the impact of faster analytical insights on overall business strategy, artificial intelligence (AI) techniques like machine learning are permeating nearly every industry.

Deep learning, the fastest-growing field in machine learning, leverages many-layered deep neural networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text. This technique is showing great promise for automating a variety of operational processes and ushering in disruptive new business models for the industry.

However, these newfound capabilities are quickly pushing conventional computing architectures to their limits. With demands for compute performance expanding, the high performance computing (HPC) industry is shifting to a hybrid computing model where GPUs and CPUs work in tandem to perform general-purpose computing tasks.

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